Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-Labeled Deep Learning and Biparametric Imaging: Proof of Concept

Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-Labeled Deep Learning and Biparametric Imaging: Proof of Concept

Background: Opportunistic prostate cancer (PCa) screening is a controversial topic. Magnetic resonance imaging (MRI) has proven to detect prostate cancer with a high sensitivity and specificity, leading to the idea to perform an image-guided prostate cancer (PCa) screening; Methods: We evaluated a p...

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Bibliographic Details
Main Authors: David J. Winkel, Christian Wetterauer, Marc Oliver Matthias, Bin Lou, Bibo Shi, Ali Kamen, Dorin Comaniciu, Hans-Helge Seifert, Cyrill A. Rentsch, Daniel T. Boll
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Diagnostics
Subjects:
prostatic neoplasms
early detection of cancer
magnetic resonance imaging
deep learning
Online Access:https://www.mdpi.com/2075-4418/10/11/951

Internet

https://www.mdpi.com/2075-4418/10/11/951

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